Automated Detection of Tooth Loss Using Tooth Numbering Segmentation in 3D Intraoral Scans from a Population-Based Sample with Artificial Intelligence

The use of IOSs with a deep learning model to automate tooth loss assessment in large epidemiological surveys offers an efficient alternative to traditional clinical evaluation. Although it requires an initial equipment investment and trained operators (dentists or supervised dental auxiliaries), this approach can reduce long-term fieldwork costs by optimizing professional time and enabling large-scale data collection.